Which machine learning technique revolutionized political campaign outreach by accurately predicting voter churn (disengagement) during the 2012 U.S. presidential election?

Modern political campaigns have embraced sophisticated data analytics and machine learning to better target voters and optimize resources. These technological advancements have transformed how politicians identify, engage with, and retain supporters - applying retail-style churn prediction models to the political landscape. Test your knowledge of how data science is reshaping political campaign strategies in the digital age.

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Random Forest algorithms analyzing past voting patterns and engagement metrics
Simple linear regression models based solely on demographic information
K-means clustering focused exclusively on geographic location data
Naive Bayes classifiers using only social media sentiment analysis